Cheat sheet for working with data in Python (Data Science) ๐๐ ๐น importing NumPy and pandas libraries โ basic tools for data processing ๐ ๏ธ ๐น text files โ reading/writing plain text and working via context manager ๐ ๐น tabular CSV/flat files โ loading and processing structured data into DataFrame ๐ ๐น Excel files โ working with sheets and tables ๐ ๐น SAS/Stata files โ importing statistical formats ๐ ๐น HDF5 and Pickle โ saving and loading complex data structures ๐พ ๐น MATLAB files โ reading .mat via SciPy ๐งฎ ๐น relational databases (SQL) โ connecting, querying, and converting results into DataFrame ๐๏ธ ๐น Python dictionaries โ accessing keys, values, and nested structures ๐ ๐น data exploration (NumPy arrays and pandas DataFrames) โ viewing types, sizes, and basic statistics ๐ ๐น file system navigation โ magic commands and os module for working with files and directories ๐ #Python #DataScience #Coding #Programming #Tech #Learning
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